Maximilian Balandat
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
7
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment. | Hanxian Huang, Igor Fedorov, Andrey Gromov, Bernard Beckerman, Naveen Suda, David Eriksson, Maximilian Balandat, Rylan Conway, Patrick Huber, Chinnadhurai Sankar, Ayushi Dalmia, Zechun Liu, Lemeng Wu, Tarek Elgamal, Adithya Sagar, Vikas Chandra, Raghuraman Krishnamoorthi |
| 2025 | ICML | Scalable Gaussian Processes with Latent Kronecker Structure. | Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, David Eriksson, Jos Miguel Hernndez-Lobato, Eytan Bakshy |
| 2025 | KDD | Experimenting, Fast and Slow: Bayesian Optimization of Long-term Outcomes with Online Experiments. | Qing Feng, Samuel Daulton, Benjamin Letham, Maximilian Balandat, Eytan Bakshy |
| 2024 | ICML | Bayesian Optimization of Function Networks with Partial Evaluations. | Poompol Buathong, Jiayue Wan, Raul Astudillo, Samuel Daulton, Maximilian Balandat, Peter I. Frazier |
| 2024 | ICML | Joint Composite Latent Space Bayesian Optimization. | Natalie Maus, Zhiyuan (Jerry) Lin, Maximilian Balandat, Eytan Bakshy |
| 2024 | ICML | Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need. | Shangda Yang, Vitaly Zankin, Maximilian Balandat, Stefan Scherer, Kevin T. Carlberg, Neil Walton, Kody J. H. Law |
| 2023 | AISTATS | Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. | Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson |
| 2023 | ICML | Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information. | Samuel Daulton, Maximilian Balandat, Eytan Bakshy |
| 2022 | ICML | Robust Multi-Objective Bayesian Optimization Under Input Noise. | Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy |
| 2022 | UAI | Multi-objective Bayesian optimization over high-dimensional search spaces. | Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy |
| 2021 | ICASSP | Optimizing Coverage and Capacity in Cellular Networks using Machine Learning. | Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Parayil Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath Jr. |
| 2017 | ICDM | Estimating Treatment Effects of a Residential Demand Response Program Using Non-experimental Data. | Datong Paul Zhou, Maximilian Balandat, Claire Jennifer Tomlin |
| 2015 | ICML | The Hedge Algorithm on a Continuum. | Walid Krichene, Maximilian Balandat, Claire J. Tomlin, Alexandre M. Bayen |